Sep 2026
Change-point-driven adaptive deep learning framework for extreme wind event prediction under non-stationary atmospheric conditions
Although the Transformer performs slightly better in nRMSE, MAE, CSI, and ETS, the proposed framework demonstrates stronger robustness to large forecasting errors, false alarms, and abrupt structural changes under non-stationary wind conditions.
Muktesh Gupta
· Wind Engineering : The Inter... · 0 citations